Slice.cpp

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/*
 * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
 
#include "OMStatus.h"
 
#include "core/OMUtils.h"
#include "core/OMKernelData.h"
 
#include "import/OMKernelConfigureBuilder.h"
#include "execute/OMRuntimeKernel.h"
 
using namespace onert_micro;
using namespace onert_micro::core;
 
namespace
{
 
const int MAX_DIM = 5;
 
constexpr uint32_t input1TensorIdx = 0;
constexpr uint32_t input2TensorIdx = 1;
constexpr uint32_t input3TensorIdx = 2;
 
constexpr uint32_t outputTensorIdx = 0;
 
} // namespace
 
namespace onert_micro
{
namespace import
{
 
OMStatus configure_kernel_CircleSlice(const OMConfigureArgs &config_args)
{
  OMRuntimeContext &runtime_context = config_args.runtime_context;
  uint16_t op_index = config_args.kernel_index;
 
  execute::OMRuntimeKernel runtime_kernel;
  OMStatus status = runtime_kernel.readKernel(op_index, runtime_context);
  if (status != Ok)
    return status;
 
  const circle::Tensor *input1 = runtime_kernel.inputs[input1TensorIdx];
  const circle::Tensor *input2 = runtime_kernel.inputs[input2TensorIdx];
  const circle::Tensor *input3 = runtime_kernel.inputs[input3TensorIdx];
 
  const circle::Tensor *output = runtime_kernel.outputs[outputTensorIdx];
 
  assert(input1 != nullptr);
  assert(input2 != nullptr);
  assert(input3 != nullptr);
  assert(output != nullptr);
 
  status = utils::checkCondition(input1->type() == output->type());
  if (status != Ok)
    return status;
 
  status = utils::checkCondition(input2->type() == circle::TensorType_INT32 and
                                 input3->type() == circle::TensorType_INT32);
  if (status != Ok)
    return status;
 
  status = utils::checkCondition(OMRuntimeShape(input2).dimensionsCount() == 1 and
                                 OMRuntimeShape(input3).dimensionsCount() == 1);
  if (status != Ok)
    return status;
 
  status = utils::checkCondition(OMRuntimeShape(input1).dimensionsCount() <= MAX_DIM);
  if (status != Ok)
    return status;
 
  return status;
}
 
} // namespace import
} // namespace onert_micro